Forem: Sahinur

Cloud Computing for Beginners: A Simple Guide for Students & New Developers ☁️

Sahinur — Mon, 12 Jan 2026 12:17:59 +0000

Cloud computing is no longer just a buzzword — it’s a core skill for modern developers. Whether you’re a student, a beginner, or someone curious about how applications scale globally, understanding cloud basics can open many doors.

In this article, I’ll explain cloud computing in simple terms, without heavy jargon, and help you take your first step into the cloud.

What Is Cloud Computing? (In Simple Words)

Cloud computing means using computing resources over the internet instead of your own computer or physical servers.

Instead of:

Buying servers
Maintaining hardware
Managing storage manually

You rent:

Servers
Storage
Databases
Networking

👉 All provided by cloud platforms like Microsoft Azure, AWS, and Google Cloud.

Think of the cloud like renting electricity instead of building your own power plant.

Why Should Beginners Learn Cloud Computing?

Here’s why cloud skills matter, even if you’re just starting:

🚀 High Industry Demand

Most modern applications — from startups to enterprises — run on cloud infrastructure.

💼 Career Opportunities

Cloud knowledge is useful for roles like:

Software Engineer
DevOps Engineer
Cloud Engineer

📈 Easy Scalability

Cloud platforms allow applications to scale from 10 users to millions without rebuilding everything.

Core Cloud Concepts You Should Know

1️⃣ Compute

Compute services run your applications and code.

Examples:

Azure Virtual Machines
Azure App Service

2️⃣ Storage

Storage services keep files, images, backups, and logs.

Examples:

Azure Blob Storage

3️⃣ Networking

Networking connects cloud resources securely.

Examples:

Virtual Networks
Load Balancers

4️⃣ Databases

Managed databases remove the pain of setup and maintenance.

Examples:

Azure SQL Database

Cloud Service Models Explained

Understanding these models is very important.

🧱 IaaS – Infrastructure as a Service

You manage:

Operating system
Application software

Cloud provider manages:

Physical hardware

Example:

Virtual Machines

🧩 PaaS – Platform as a Service

You focus on:

Writing code

Cloud provider manages:

Servers
OS
Scaling

Example:

Azure App Service

☁️ SaaS – Software as a Service

You simply use the software.

Examples:

Microsoft 365
Gmail

Why Microsoft Learn Is Perfect for Beginners

Learning cloud from documentation alone can be overwhelming.

That’s why Microsoft Learn is a great starting point:

✅ Free
✅ Beginner-friendly
✅ Hands-on learning
✅ No credit card required

You learn by doing, not just reading.

🔗 Start learning here:

https://learn.microsoft.com?wt.mc_id=studentamb_502522

A Simple Beginner Learning Path

If you’re starting today, follow this order:

Cloud fundamentals
Azure basics
Compute & storage concepts
Deploy a simple application

Consistency matters more than speed.

Final Thoughts

You don’t need to be an expert to start learning cloud computing.

All you need:

Curiosity
Consistency
The right learning resources

Every cloud expert was once a beginner.

Start small, stay consistent, and keep building ☁️🚀

About the Author

Sahinur Islam

Full-Stack Developer | Cloud & DevOps Enthusiast

Microsoft Learn Student Ambassador – Registered Member

When Should You Use AWS Lambda? A Beginner's Perspective

Sahinur — Sun, 11 Jan 2026 11:32:51 +0000

If you're new to cloud computing, you've probably heard the buzz around AWS Lambda and serverless architecture. But here's the million-dollar question: When should you actually use it?

In this article, I'll break down AWS Lambda in simple terms, explain when it's the perfect choice, and when you might want to look elsewhere. Let's dive in!

🤔 What is AWS Lambda, Anyway?

AWS Lambda is Amazon's serverless compute service. In simple terms:

You write code, upload it to Lambda, and AWS runs it for you — no servers to manage, no infrastructure to worry about.

Lambda only runs your code when something triggers it (like an API request, a file upload, or a database change). When there's nothing to do, Lambda sits idle — and you pay nothing.

Key characteristics:

Event-driven: Runs only when triggered
Auto-scaling: Handles 1 request or 10,000 automatically
Pay-per-use: Charged only for execution time (in milliseconds)
Zero server management: AWS handles everything

✅ When Should You Use AWS Lambda?

Here are the scenarios where Lambda truly shines:

1. API Backends & Microservices

Building a REST API? Lambda + API Gateway is a killer combo.

// Simple Lambda function for an API endpoint
exports.handler = async (event) => {
    const userId = event.pathParameters.id;

    // Fetch user from database
    const user = await getUser(userId);

    return {
        statusCode: 200,
        body: JSON.stringify(user)
    };
};

Perfect for:

Mobile app backends
Web application APIs
Microservices architecture

2. File Processing

When users upload files to S3, Lambda can automatically process them.

Use cases:

Image resizing/compression
Video transcoding
PDF generation
CSV/Excel data processing

# Triggered when file is uploaded to S3
def lambda_handler(event, context):
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = event['Records'][0]['s3']['object']['key']

    # Process the uploaded file
    process_file(bucket, key)

    return {'statusCode': 200}

3. Scheduled Tasks (Cron Jobs)

Need to run something every hour? Every day at midnight? Lambda + EventBridge is your friend.

Examples:

Daily database cleanup
Sending scheduled reports
Periodic data synchronization
Health checks

# Using AWS SAM template
Events:
  ScheduledEvent:
    Type: Schedule
    Properties:
      Schedule: rate(1 hour)  # Runs every hour

4. Real-time Data Processing

Process streaming data from Kinesis or DynamoDB Streams.

Use cases:

IoT sensor data processing
Real-time analytics
Log aggregation
Change data capture (CDC)

5. Webhooks & Event Handlers

Respond to external events instantly.

Examples:

Payment gateway callbacks (Stripe, PayPal)
GitHub/GitLab webhooks for CI/CD
Slack bot commands
Third-party API integrations

6. Chatbots & Voice Assistants

Lambda powers many conversational interfaces.

Integrations:

Amazon Lex (chatbots)
Alexa Skills
Telegram/Discord bots

7. Authentication & Authorization

Custom auth logic for your applications.

Use cases:

JWT token validation
Custom authorizers for API Gateway
User signup/signin flows
OAuth callback handlers

❌ When Should You NOT Use AWS Lambda?

Lambda isn't a silver bullet. Here's when you should consider alternatives:

1. Long-Running Processes

Lambda has a 15-minute timeout limit. If your task takes longer, Lambda isn't the right choice.

Better alternatives:

AWS Fargate
AWS Batch
EC2 instances

2. Consistent High Traffic

If your application runs 24/7 with consistent high traffic, Lambda might be more expensive than EC2 or containers.

Rule of thumb: Calculate your costs. Lambda charges per millisecond, while EC2 is hourly. For always-on workloads, EC2 or Fargate often wins.

3. Stateful Applications

Lambda functions are stateless. Each invocation is independent with no shared memory.

Not ideal for:

WebSocket connections (though API Gateway helps)
Session-based applications
Applications requiring persistent connections

4. Latency-Critical Applications

Cold starts can add 100ms to several seconds of latency when Lambda spins up a new container.

Mitigations:

Provisioned Concurrency (costs extra)
Keep functions warm with scheduled pings
Use smaller deployment packages

5. Heavy Compute Workloads

Lambda maxes out at 10GB RAM and 6 vCPUs. For ML training, video rendering, or heavy computation, look elsewhere.

Better alternatives:

EC2 with GPU instances
AWS SageMaker
AWS Batch

6. Complex Monolithic Applications

Lambda works best with small, focused functions. Migrating a large monolithic app to Lambda is painful and often counterproductive.

📊 Quick Decision Matrix

Scenario	Use Lambda?	Alternative
REST API with variable traffic	✅ Yes	-
Image processing on upload	✅ Yes	-
Cron jobs (< 15 min)	✅ Yes	-
Real-time webhooks	✅ Yes	-
24/7 high-traffic web server	❌ No	EC2, Fargate
ML model training	❌ No	SageMaker, EC2
Long-running batch jobs	❌ No	AWS Batch
WebSocket game server	❌ No	EC2, Fargate
Sub-10ms latency required	⚠️ Maybe	EC2

💰 Understanding Lambda Pricing

Lambda's pricing is simple but can surprise you:

You pay for:

Number of requests: $0.20 per 1 million requests
Duration: Based on memory allocated × execution time

Free tier (every month):

1 million requests
400,000 GB-seconds of compute time

Example calculation:

Function specs:
- Memory: 512MB
- Avg execution time: 200ms
- Monthly invocations: 5 million

Cost calculation:
- Requests: (5M - 1M free) × $0.20/1M = $0.80
- Compute: 5M × 0.2s × 0.5GB = 500,000 GB-s
- GB-s cost: (500,000 - 400,000 free) × $0.0000166667 = $1.67

Total: ~$2.47/month

🚀 Getting Started: Your First Lambda Function

Ready to try Lambda? Here's a quick start:

Step 1: Create the Function

// index.js
exports.handler = async (event) => {
    const name = event.queryStringParameters?.name || 'World';

    return {
        statusCode: 200,
        headers: {
            'Content-Type': 'application/json'
        },
        body: JSON.stringify({
            message: `Hello, ${name}!`,
            timestamp: new Date().toISOString()
        })
    };
};

Step 2: Deploy Using AWS CLI

# Zip your code
zip function.zip index.js

# Create the function
aws lambda create-function \
    --function-name HelloWorld \
    --runtime nodejs20.x \
    --handler index.handler \
    --role arn:aws:iam::YOUR_ACCOUNT:role/lambda-role \
    --zip-file fileb://function.zip

Step 3: Test It

aws lambda invoke \
    --function-name HelloWorld \
    --payload '{"queryStringParameters": {"name": "Developer"}}' \
    response.json

cat response.json
# Output: {"message":"Hello, Developer!","timestamp":"2024-01-15T10:30:00.000Z"}

🎯 Best Practices for Beginners

Keep functions small and focused — One function, one job
Minimize cold starts — Use smaller packages, avoid VPC unless necessary
Set appropriate timeouts — Don't use 15 minutes if 10 seconds is enough
Use environment variables — Never hardcode secrets
Monitor with CloudWatch — Set up alarms for errors and duration
Use Layers for dependencies — Share common code across functions

🏁 Conclusion

AWS Lambda is a powerful tool, but it's not for everything. Use it when:

✅ Your workload is event-driven
✅ Traffic is variable or unpredictable
✅ Tasks complete in under 15 minutes
✅ You want zero infrastructure management

Avoid it when:

❌ You need consistent, high-performance compute
❌ Tasks run longer than 15 minutes
❌ Sub-millisecond latency is critical
❌ You're running a stateful monolith

Start small, experiment, and you'll quickly discover where Lambda fits in your architecture. The serverless journey is worth it!

📚 Resources

What's your experience with AWS Lambda? Drop a comment below! 👇

If you found this helpful, please ❤️ and follow for more cloud content!

aws #lambda #serverless #beginners #cloud

AWS IAM basics explained with real examples

Sahinur — Sun, 11 Jan 2026 10:57:07 +0000

When you first start working with Amazon Web Services, one of the most critical services you'll encounter is Identity and Access Management (IAM). Think of IAM as the security guard of your AWS account—it controls who can enter, what rooms they can access, and what actions they can perform.

In this guide, we'll break down IAM concepts with practical examples that you can immediately apply to your projects.

What is AWS IAM?

AWS Identity and Access Management (IAM) is a free service that allows you to securely manage access to AWS resources. With IAM, you can control:

Who can access your resources (authentication)
What they can do with those resources (authorization)

Every interaction with AWS—whether through the console, CLI, or SDK—goes through IAM for permission checks.

Core IAM Components

1. Users

An IAM user represents a person or application that interacts with AWS. Each user has unique credentials.

Real Example: Creating a Developer User

Imagine you're onboarding a new developer named Sarah to your team. She needs access to deploy applications to EC2 and view logs in CloudWatch.

{
  "UserName": "sarah-developer",
  "Tags": [
    {
      "Key": "Department",
      "Value": "Engineering"
    },
    {
      "Key": "Role",
      "Value": "Backend Developer"
    }
  ]
}

Best Practice: Never use the root account for daily tasks. Create individual IAM users for each team member.

2. Groups

Groups are collections of users. Instead of attaching policies to each user individually, you attach them to a group, and all members inherit those permissions.

Real Example: Team-Based Access Structure

├── Developers (Group)
│   ├── sarah-developer
│   ├── john-developer
│   └── Policy: DeveloperAccess
│
├── DevOps (Group)
│   ├── mike-devops
│   └── Policy: DevOpsFullAccess
│
└── Finance (Group)
    ├── lisa-finance
    └── Policy: BillingReadOnly

When Sarah moves from Development to DevOps, you simply remove her from the Developers group and add her to DevOps. No policy changes needed.

3. Roles

Roles are similar to users but are meant to be assumed temporarily by users, applications, or AWS services. They don't have permanent credentials.

Real Example: EC2 Instance Accessing S3

Your application running on EC2 needs to upload images to an S3 bucket. Instead of storing AWS credentials in your code (a security risk), you create a role:

{
  "RoleName": "EC2-S3-Upload-Role",
  "AssumeRolePolicyDocument": {
    "Version": "2012-10-17",
    "Statement": [
      {
        "Effect": "Allow",
        "Principal": {
          "Service": "ec2.amazonaws.com"
        },
        "Action": "sts:AssumeRole"
      }
    ]
  }
}

The EC2 instance automatically gets temporary credentials to access S3—no hardcoded keys required.

4. Policies

Policies are JSON documents that define permissions. They specify what actions are allowed or denied on which resources.

Policy Structure:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow | Deny",
      "Action": "service:action",
      "Resource": "arn:aws:service:region:account:resource",
      "Condition": { }
    }
  ]
}

Real-World Policy Examples

Example 1: S3 Read-Only Access to a Specific Bucket

A mobile app needs to read images from a bucket called my-app-images:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "s3:GetObject",
        "s3:ListBucket"
      ],
      "Resource": [
        "arn:aws:s3:::my-app-images",
        "arn:aws:s3:::my-app-images/*"
      ]
    }
  ]
}

Example 2: Developer Access with Restrictions

Developers can manage EC2 instances but cannot terminate production servers:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "ec2:*",
      "Resource": "*"
    },
    {
      "Effect": "Deny",
      "Action": "ec2:TerminateInstances",
      "Resource": "*",
      "Condition": {
        "StringEquals": {
          "ec2:ResourceTag/Environment": "production"
        }
      }
    }
  ]
}

Example 3: Time-Based Access

Contractors can only access resources during business hours:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "s3:*",
      "Resource": "*",
      "Condition": {
        "DateGreaterThan": {
          "aws:CurrentTime": "2025-01-01T09:00:00Z"
        },
        "DateLessThan": {
          "aws:CurrentTime": "2025-12-31T18:00:00Z"
        }
      }
    }
  ]
}

Example 4: Lambda Function Accessing DynamoDB

A Lambda function that reads and writes to a specific DynamoDB table:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "dynamodb:GetItem",
        "dynamodb:PutItem",
        "dynamodb:UpdateItem",
        "dynamodb:Query"
      ],
      "Resource": "arn:aws:dynamodb:ap-south-1:123456789012:table/UserProfiles"
    },
    {
      "Effect": "Allow",
      "Action": [
        "logs:CreateLogGroup",
        "logs:CreateLogStream",
        "logs:PutLogEvents"
      ],
      "Resource": "arn:aws:logs:*:*:*"
    }
  ]
}

Understanding Policy Evaluation

When a request is made, AWS evaluates policies in this order:

Explicit Deny — If any policy explicitly denies the action, access is denied (highest priority)
Explicit Allow — If a policy allows the action and nothing denies it, access is granted
Implicit Deny — If no policy mentions the action, access is denied by default

Request → Check Deny → Check Allow → Default Deny
              ↓             ↓              ↓
           DENIED       ALLOWED        DENIED

Types of IAM Policies

Policy Type	Description	Use Case
AWS Managed	Created and maintained by AWS	Quick setup with common permissions
Customer Managed	Created by you	Custom permissions for your organization
Inline	Embedded directly in a user, group, or role	Strict one-to-one relationship

Recommendation: Use customer managed policies for reusability and easier maintenance.

Security Best Practices

1. Enable Multi-Factor Authentication (MFA)

Always enable MFA for the root account and privileged users.

2. Follow the Principle of Least Privilege

Grant only the permissions required to perform a task—nothing more.

// ❌ Bad: Too permissive
{
  "Effect": "Allow",
  "Action": "*",
  "Resource": "*"
}

// ✅ Good: Specific and limited
{
  "Effect": "Allow",
  "Action": "s3:GetObject",
  "Resource": "arn:aws:s3:::my-bucket/public/*"
}

3. Use Roles Instead of Access Keys

For applications running on AWS services, always use IAM roles instead of embedding access keys.

4. Rotate Credentials Regularly

Set up automatic rotation for access keys and review unused credentials.

5. Use IAM Access Analyzer

This tool helps identify resources shared with external entities and validates policies.

Common IAM Scenarios

Scenario 1: Cross-Account Access

Your production and development accounts are separate. Developers need to access production S3 for debugging.

Solution: Create a role in production that developers can assume from the development account.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::DEV_ACCOUNT_ID:root"
      },
      "Action": "sts:AssumeRole",
      "Condition": {
        "Bool": {
          "aws:MultiFactorAuthPresent": "true"
        }
      }
    }
  ]
}

Scenario 2: Service-Linked Roles

Some AWS services create roles automatically to perform actions on your behalf. For example, when you use Elastic Load Balancing, AWS creates AWSServiceRoleForElasticLoadBalancing.

Scenario 3: Federated Access

Your company uses Google Workspace or Microsoft Azure AD. Instead of creating IAM users, you can federate identity:

Corporate Identity Provider → AWS STS → Temporary Credentials → AWS Access

Debugging IAM Issues

When access is denied, check these areas:

Policy Simulator — Test policies before applying them
CloudTrail Logs — See exactly what was denied and why
IAM Access Advisor — View which services a user actually accessed

Common Error:

An error occurred (AccessDenied) when calling the PutObject operation: Access Denied

Debugging Steps:

Verify the policy is attached to the user/role
Check for explicit deny statements
Ensure the resource ARN matches exactly
Verify the correct region is specified

Quick Reference: Common IAM Actions

Service	Common Actions
S3	`s3:GetObject`, `s3:PutObject`, `s3:DeleteObject`, `s3:ListBucket`
EC2	`ec2:RunInstances`, `ec2:StopInstances`, `ec2:TerminateInstances`
Lambda	`lambda:InvokeFunction`, `lambda:CreateFunction`, `lambda:UpdateFunctionCode`
DynamoDB	`dynamodb:GetItem`, `dynamodb:PutItem`, `dynamodb:Query`, `dynamodb:Scan`
RDS	`rds:CreateDBInstance`, `rds:DeleteDBInstance`, `rds:DescribeDBInstances`

Conclusion

AWS IAM is the foundation of security in the cloud. By understanding users, groups, roles, and policies, you can build secure applications that follow the principle of least privilege.

Start with these steps:

Create individual users for your team members
Organize users into groups based on job functions
Use roles for applications and cross-account access
Write specific policies that grant only necessary permissions
Enable MFA and regularly audit your IAM configuration

Security isn't a one-time setup—it's an ongoing practice. Regularly review your IAM policies and adjust as your application evolves.

Happy building on AWS!

Complete Guide: Deploying Node.js Application on Ubuntu VPS

Sahinur — Sun, 11 Jan 2026 10:50:28 +0000

A step-by-step guide to deploy your Node.js application with MongoDB, Nginx reverse proxy, and SSL certificate on a DigitalOcean Droplet or any Ubuntu VPS.

Prerequisites

A DigitalOcean Droplet (or any Ubuntu VPS)
A domain name (optional, but required for SSL)
SSH access to your server
Your Node.js application hosted on GitHub

Step 1: Connect to Your Server

SSH into your droplet using the root user:

ssh root@YOUR_DROPLET_IP

Replace YOUR_DROPLET_IP with your actual server IP address.

Step 2: Update System Packages

Always start by updating and upgrading your system packages:

sudo apt update && sudo apt upgrade -y

Step 3: Install Required Packages

Install Node.js, npm, and Nginx:

sudo apt install -y nodejs npm nginx

Step 4: Install Node Version Manager (NVM)

NVM allows you to manage multiple Node.js versions easily.

Download and install NVM:

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash

Load NVM into current session:

source ~/.bashrc

Install and configure Node.js 20.10.0:

nvm install 20.10.0
nvm use 20.10.0
nvm alias default 20.10.0

Verify installation:

node --version
npm --version

Step 5: Install MongoDB

MongoDB is a popular NoSQL database for Node.js applications.

Import the public key:

curl -fsSL https://www.mongodb.org/static/pgp/server-7.0.asc | sudo gpg -o /usr/share/keyrings/mongodb-server-7.0.gpg --dearmor

Create the list file for Ubuntu 22.04:

echo "deb [ arch=amd64,arm64 signed-by=/usr/share/keyrings/mongodb-server-7.0.gpg ] https://repo.mongodb.org/apt/ubuntu jammy/mongodb-org/7.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-7.0.list

Update packages and install MongoDB:

sudo apt update
sudo apt install -y mongodb-org

Start and enable MongoDB:

sudo systemctl start mongod
sudo systemctl enable mongod
sudo systemctl status mongod

For complete MongoDB installation instructions, refer to the official documentation.

Step 6: Setup SSH Key for GitHub

Generate an SSH key to clone your private repositories:

ssh-keygen -t rsa -b 4096 -C "your-email@example.com"

Press Enter to accept default file location and optionally set a passphrase.

Display your public key:

cat ~/.ssh/id_rsa.pub

Add the key to GitHub:

Copy the entire output
Go to GitHub → Settings → SSH and GPG keys
Click "New SSH key"
Paste your key and save

Step 7: Clone Your Repository

Navigate to your preferred directory and clone your repository:

cd /var/www
git clone git@github.com:username/repository.git
cd repository

Install dependencies:

npm install

Step 8: Configure Nginx as Reverse Proxy

Nginx will handle incoming HTTP requests and forward them to your Node.js application.

Create a new Nginx configuration file:

sudo nano /etc/nginx/sites-available/your-app-name

Add the following configuration:

server {
    listen 80;
    server_name YOUR_DOMAIN_OR_IP;

    location / {
        proxy_pass http://localhost:3000;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection 'upgrade';
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
        proxy_cache_bypass $http_upgrade;
    }
}

Replace YOUR_DOMAIN_OR_IP with your domain name or server IP address.

Enable the configuration:

sudo ln -s /etc/nginx/sites-available/your-app-name /etc/nginx/sites-enabled/

Test Nginx configuration:

sudo nginx -t

Reload Nginx:

sudo systemctl reload nginx

Step 9: Managing Your App with Tmux

Tmux keeps your application running even after you disconnect from SSH.

Tmux Commands Reference:

Command	Description
`tmux new -s session_name`	Create a new session
`tmux attach -t session_name`	Attach to existing session
`tmux ls`	List all sessions
`tmux kill-session -t session_name`	Kill a session
`tmux rename-session -t old_name new_name`	Rename a session
`Ctrl+B` then `D`	Detach from current session

Start your application:

tmux new -s myapp
cd /var/www/repository
npm start

Press Ctrl+B then D to detach and leave it running.

Step 10: Configure Firewall (UFW)

Enable and configure the firewall:

sudo ufw enable
sudo ufw allow 'Nginx Full'
sudo ufw allow OpenSSH
sudo ufw status

Step 11: Install SSL Certificate (HTTPS)

Secure your application with a free SSL certificate from Let's Encrypt.

Install Certbot:

sudo apt install certbot python3-certbot-nginx

Obtain SSL certificate:

sudo certbot --nginx -d example.com -d www.example.com

Replace example.com with your actual domain name.

Certbot will automatically configure Nginx for HTTPS and set up auto-renewal.

Test auto-renewal:

sudo certbot renew --dry-run

Quick Reference Commands

Server Management:

# Restart Nginx
sudo systemctl restart nginx

# Check Nginx status
sudo systemctl status nginx

# View Nginx error logs
sudo tail -f /var/log/nginx/error.log

# Restart MongoDB
sudo systemctl restart mongod

# Check MongoDB status
sudo systemctl status mongod

Application Management:

# Pull latest changes
cd /var/www/repository
git pull origin main

# Install new dependencies
npm install

# Restart application (inside tmux session)
tmux attach -t myapp
# Press Ctrl+C to stop, then npm start

Alternative: Using PM2 (Recommended for Production)

PM2 is a production process manager for Node.js applications.

Install PM2:

npm install -g pm2

Start your application:

pm2 start app.js --name "your-app-name"

PM2 Commands:

pm2 list              # List all processes
pm2 restart app-name  # Restart application
pm2 stop app-name     # Stop application
pm2 logs              # View logs
pm2 startup           # Configure PM2 to start on boot
pm2 save              # Save current process list

Troubleshooting

Application not accessible:

Check if the app is running: tmux attach -t myapp
Verify Nginx config: sudo nginx -t
Check firewall: sudo ufw status
Review Nginx logs: sudo tail -f /var/log/nginx/error.log

MongoDB connection issues:

Check if MongoDB is running: sudo systemctl status mongod
Review MongoDB logs: sudo tail -f /var/log/mongodb/mongod.log

SSL certificate issues:

Ensure domain DNS points to your server IP
Check Certbot logs: sudo certbot certificates
Renew manually: sudo certbot renew

Conclusion

Your Node.js application is now deployed with:

✅ Latest Node.js version via NVM
✅ MongoDB database
✅ Nginx reverse proxy
✅ SSL/HTTPS encryption
✅ Firewall protection
✅ Process management with Tmux or PM2

For production applications, consider implementing additional security measures, setting up automated backups, and configuring monitoring tools.

Last updated: January 2026

Getting Started with AWS in 2026 – A Practical Beginner's Guide 🚀

Sahinur — Sun, 11 Jan 2026 06:14:20 +0000

Getting Started with AWS in 2026 – The Practical Way for Developers

Hey DEV community! 👋

If you're a developer looking to level up in 2026, AWS (Amazon Web Services) is still the #1 cloud platform — powering everything from startups to giants like Netflix, Airbnb, and Spotify.

But AWS can feel overwhelming with 200+ services. Where do you even start?

This guide is for absolute beginners who want a clear, practical path — not just theory. We'll cover account creation (with security!), the most important services for developers, the famous Free Tier, and your first experiments.

Let's dive in! ☁️

Why Learn AWS in 2026? (Quick Reality Check)

Pay-as-you-go → No huge upfront costs — pay only for what you use
Massive scalability → Go from 1 to 1 million users overnight
Global reach → Deploy apps in regions close to your users
Free Tier → Still very generous in 2026 (12 months of limited free usage on many services)
Huge job market → AWS skills = better opportunities in backend, DevOps, full-stack, AI/ML
Generative AI boom → Services like Amazon Bedrock make it easier than ever to build AI apps

Step 1: Create Your AWS Account (Do It Right!)

Go to https://aws.amazon.com/ and click Create an AWS Account
Use a real email (you'll need it for recovery)
Choose the basic support plan (free)
Enter your payment info → AWS requires a card even for Free Tier (they charge $1 then refund it for verification)
Very important — Verify your phone number

Security First (Don't Skip This in 2026!)

After signup, immediately:

Enable MFA on your root account (use authenticator app like Google Authenticator)
Never use root account for daily work → Create an IAM user with admin rights instead
Follow least-privilege principle from day 1

Pro tip: Use AWS Organizations later if you plan to create multiple accounts (dev/test/prod).

Step 2: Understand the AWS Free Tier (What’s Actually Free?)

AWS Free Tier in 2026 still gives you:

750 hours/month of t3.micro or t2.micro EC2 instances (~1 year)
5 GB of Amazon S3 standard storage
750 hours/month of RDS (db.t3.micro or similar)
1 million Lambda requests/month
400,000 GB-seconds of Lambda compute
Many other services free forever (DynamoDB, SNS, etc.)

Warning: Always delete resources after experimenting — forgotten EC2/RDS instances can cost money after free tier expires!

Step 3: Core AWS Services Every Developer Should Know (2026 Edition)

Here are the must-know services for most developers:

Compute

Amazon EC2 → Virtual servers (your Linux/Windows machines in the cloud)
AWS Lambda → Serverless — run code without managing servers
Elastic Beanstalk → Easy deployment (upload your app and AWS handles the rest)

Storage

Amazon S3 → Object storage (think unlimited Dropbox for apps)
Amazon EBS → Block storage (like SSD for your EC2 instances)

Databases

Amazon RDS → Managed SQL databases (MySQL, PostgreSQL, etc.)
Amazon DynamoDB → NoSQL — super fast and scalable

Networking & Security

Amazon VPC → Your private network in AWS
AWS IAM → Control who can do what (super important!)
AWS CloudTrail → Audit logs (who did what)

Developer Tools

AWS CodeCommit → Git repositories
AWS CodePipeline → CI/CD
AWS CodeBuild → Build your code

Bonus (Hot in 2026): Generative AI

Amazon Bedrock → Build AI apps with foundation models (Claude, Llama, Stable Diffusion, etc.) — no need to manage your own GPUs

Step 4: Your First Hands-On Challenge (Do This Today!)

Log into the AWS Management Console
Go to EC2 → Launch Instance
- Choose Amazon Linux 2023 (free tier eligible)
- t3.micro instance
- Create a new key pair (save the .pem file!)
- Allow SSH traffic (port 22)
Connect via SSH (use your key)
Run sudo yum update -y and play around
Terminate the instance when done (very important!)

Bonus: Upload a file to S3 using the console — create bucket → upload → make it public → view in browser.

Common Beginner Mistakes to Avoid

Using root account for everything → Security risk!
Forgetting to terminate instances → Surprise bill
Making buckets public without thinking → Data leaks
Not using tags on resources → Hard to manage later

Next Steps After This Guide

Complete AWS Cloud Practitioner Essentials (free on AWS Skill Builder)
Try AWS Cloud Quest — gamified learning (free badges!)
Build a small project: Static website on S3 + CloudFront
Aim for AWS Certified Cloud Practitioner → Great first cert
Explore AWS Amplify if you're a frontend/full-stack developer

AWS is a journey, not a race. Start small, break things (safely), and have fun!

What’s your first AWS project going to be? Drop a comment below — I’d love to hear! 💬

Happy clouding! ☁️✨

AWS #CloudComputing #Beginners #DevOps

🚀 20 Must-Know GitHub Repositories for Developers!

Sahinur — Sat, 08 Mar 2025 09:59:57 +0000

💡 Introduction
GitHub is a treasure trove of free resources, tools, and learning materials for developers. Whether you’re a beginner or an experienced coder, these repositories will help you level up your skills in web development, AI, system design, and coding interviews.

Let’s explore 20 must-know GitHub repositories that can help you learn, code, and build better projects!

🔥 Top 20 GitHub Repositories Every Developer Should Know
1️⃣ Free Programming Books 📚
📌 https://github.com/EbookFoundation/free-programming-books
A legendary collection of free programming books covering AI, web development, Python, JavaScript, and more!

2️⃣ Developer Roadmap 🛤️
📌 https://github.com/kamranahmedse/developer-roadmap
A structured roadmap for learning Frontend, Backend, DevOps, and more with the latest technologies.

3️⃣ Build Your Own X 🔨
📌 https://github.com/codecrafters-io/build-your-own-x
A fantastic repository that teaches you how to build browsers, databases, OS, blockchain, and more from scratch!

4️⃣ 30 Seconds of Code ⚡
📌 https://github.com/30-seconds/30-seconds-of-code
Short, powerful JavaScript, Python, and React snippets to speed up your development.

5️⃣ Awesome GitHub Repos 🌟
📌 https://github.com/sindresorhus/awesome
A curated list of amazing GitHub repositories covering various programming topics.

6️⃣ JavaScript Algorithms and Data Structures 🧠
📌 https://github.com/trekhleb/javascript-algorithms
A collection of JavaScript-based algorithms and data structures with explanations.

7️⃣ The Algorithms 📊
📌 https://github.com/TheAlgorithms/Python
A massive collection of algorithm implementations in Python.

8️⃣ System Design Primer 🏗️
📌 https://github.com/donnemartin/system-design-primer
Learn system design concepts with real-world case studies and interview prep materials.

9️⃣ CS50x: Harvard’s Computer Science Course 💻
📌 https://github.com/cs50
Harvard’s official CS50 computer science course, available for free!

🔟 Frontend Developer Interview Questions 🎤
📌 https://github.com/h5bp/Front-end-Developer-Interview-Questions
A collection of real frontend developer interview questions to prepare for job interviews.

1️⃣1️⃣ Practical Machine Learning 📈
📌 https://github.com/ageron/handson-ml
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow.

1️⃣2️⃣ Free Code Camp Curriculum 🎓
📌 https://github.com/freeCodeCamp/freeCodeCamp
A free interactive coding platform with real-world projects.

1️⃣3️⃣ LeetCode Solutions 🏆
📌 https://github.com/azl397985856/leetcode
A collection of LeetCode solutions to prepare for FAANG interviews.

1️⃣4️⃣ Node.js Best Practices 🚀
📌 https://github.com/goldbergyoni/nodebestpractices
Best practices for building scalable and efficient Node.js applications.

1️⃣5️⃣ Coding Interview University 🎯
📌 https://github.com/jwasham/coding-interview-university
A complete self-study guide to crack FAANG interviews.

1️⃣6️⃣ Project-Based Learning 🔨
📌 https://github.com/practical-tutorials/project-based-learning
A collection of hands-on projects to improve your coding skills.

1️⃣7️⃣ The Art of Command Line 🖥️
📌 https://github.com/jlevy/the-art-of-command-line
Master the Linux command line with this detailed guide.

1️⃣8️⃣ Web Developer Resources 🌎
📌 https://github.com/bradtraversy/webdev-resources
A curated list of frontend & backend development resources.

1️⃣9️⃣ Public APIs 📡
📌 https://github.com/public-apis/public-apis
A list of free APIs for web development, data, and AI applications.

2️⃣0️⃣ Design Resources for Developers 🎨
📌 https://github.com/bradtraversy/design-resources-for-developers
Free design tools, UI kits, and CSS frameworks for developers.

🎯 Conclusion
🚀 Staying up-to-date with the latest resources and tools is key to growing as a developer. These GitHub repositories offer educational materials, coding challenges, and project-based learning opportunities to help you excel in your career.

Whether you’re preparing for interviews, learning new skills, or looking for project ideas, these repositories will boost your programming journey!

📌 Which GitHub repo is your favorite? Let me know in the comments! 👇

🔥 Don't forget to star your favorite repositories on GitHub and share this post with other developers!

Introducing Exciting New Git Features: A Boost for Your Development Workflow

Sahinur — Mon, 20 May 2024 09:28:25 +0000

Hello Dev community! 🌟

As developers, we continually seek tools and features that streamline our workflows and make coding more efficient and enjoyable. Git, the widely-used version control system, has recently introduced some new features that promise to enhance our development experience even further. In this blog post, we’ll explore these new Git features and how they can improve your workflow. Let’s dive in!

1. Sparse Checkout

Sparse checkout is a game-changer for large repositories. It allows you to check out only a subset of the repository, reducing the load on your local environment and improving performance.

How to Use Sparse Checkout

Initialize Sparse-Checkout Mode:

   git sparse-checkout init

Define the Sparse-Checkout Patterns: Specify the directories or files you want to include.

   git sparse-checkout set <directory-or-file>

Benefits

Reduced Disk Usage: Only necessary files are checked out, saving space.
Improved Performance: Faster operations due to fewer files.
Focused Development: Work on specific parts of the repository without distractions.

2. Built-in File System Monitor (FSMonitor)

FSMonitor is a built-in file system monitor that speeds up Git commands by keeping track of file changes in real-time, eliminating the need to scan the entire working directory.

How to Enable FSMonitor

Enable FSMonitor:

   git config core.fsmonitor true

Benefits

Faster Commands: Commands like git status execute significantly faster.
Real-Time Updates: Immediate awareness of file changes.

3. Git Maintenance

Git Maintenance automates routine maintenance tasks, such as repacking and cleaning up unnecessary files, to keep your repository performant and healthy.

How to Configure Git Maintenance

Configure Maintenance Tasks:

   git maintenance start

Schedule Specific Tasks:

   git maintenance run --task=<task-name>

Benefits

Automated Upkeep: Set and forget maintenance tasks.
Enhanced Performance: Regular maintenance ensures optimal repository performance.
Reduced Manual Intervention: Focus on coding while Git handles the housekeeping.

4. Background Pre-fetching

Git now supports background pre-fetching of commits, allowing you to stay up-to-date with remote branches without blocking your workflow.

How to Enable Background Pre-fetching

Configure Pre-fetching:

   git config fetch.auto true

Benefits

Non-blocking Updates: Fetch updates in the background while you work.
Stay Synchronized: Always have the latest changes from remote branches.

5. Improved Merge Conflict Resolution

Git’s new merge conflict resolution features provide a more intuitive and user-friendly way to handle conflicts, making it easier to integrate changes from different branches.

How to Use the Improved Merge Tools

Invoke the Merge Tool:

   git mergetool

Benefits

Simplified Conflict Resolution: Enhanced tools and interfaces to resolve conflicts efficiently.
Better Visual Guidance: Improved visualization of conflicts and changes.

Conclusion

These new Git features are designed to make your development workflow faster, more efficient, and more enjoyable. Whether you’re dealing with large repositories, frequent file changes, or complex merge conflicts, these enhancements have got you covered.

Give these features a try and see how they can transform your Git experience. Happy coding, and let’s keep pushing the boundaries of what we can achieve with Git!

Feel free to share your thoughts and experiences with these new features in the comments below. 🚀

Thank you for reading! If you enjoyed this post, don’t forget to give it a ❤️ and follow for more updates on the latest in software development. Happy coding! 👩‍💻👨‍💻

Unlock Your Code's Potential: 5 Powerful GitHub Copilot Alternatives

Sahinur — Sun, 17 Dec 2023 03:48:42 +0000

GitHub Copilot, developed by Microsoft, is an innovative AI-driven collaboration tool designed to enhance developers' coding efficiency and accuracy. By leveraging its contextual awareness of the file being worked on and its connections to related files, Copilot offers autocomplete-style suggestions that streamline the coding process. Although Copilot is a prominent AI tool, there are also other alternatives available. This article will introduce you to five additional options to consider.
Getting started with GitHub Copilot is effortless. You can utilize this powerful tool by either typing the code you need or describing your desired functionality in natural language within your text editor. Copilot will then carefully analyze the context and provide relevant suggestions to aid you in your coding process.
Moreover, GitHub Copilot conveniently integrates with various popular IDEs such as Visual Studio Code, Visual Studio, NeoVim, and the JetBrains suite. To begin utilizing Copilot, simply install the extension in your preferred IDE and start benefiting from its capabilities.
While GitHub Copilot is a useful tool for developers, there are also several alternatives available that offer similar code completion features. Let’s now consider five of those, so you can decide what to use.

1. Codeium

Codeium is an AI-powered programming tool that seamlessly integrates with popular code editors and IDEs like Visual Studio Code, PyCharm, JetBrains, IntelliJ, Vim, Android Studio, and more. Its primary purpose is to empower developers to expedite code development through its advanced code suggestion feature. Moreover, it offers extensive support for multiple programming languages, including Python and JavaScript.
When you start typing a code fragment in Codeium, it instantly generates multiple code suggestions. If one of the suggestions aligns with your desired outcome, simply press the Tab button to automatically insert it into your code block. In case the suggested code appears different from what you intend, Codeium offers an impressive feature that enables you to cycle through various code suggestions. By hovering over the beginning of the suggested code block, you can access a Next and Previous toggle, allowing you to explore different suggestions and select the one that best fits your specific requirements.

The pros of Codeium include the following:

Multiple programming language support
Fast suggestions and a provision to cycle between alternate coding patterns

2. CodeGeex AI

CodeGeex AI is an AI-based multilingual development tool with code suggestions, auto-complete features, and code translations. It is an AI assistant that works alongside you to ensure you ship codes easier and faster. It is not restricted by programming languages, as it can convert your code into a different programming language.

Pros of CodeGeex AI:

CodeGeex is powered by large code repositories of up to 20 programming languages.
It also provides developers with a translation feature to convert code written in one programming language, to another.

3. Code Whisperer

Code Whisperer, developed by AWS, is a powerful tool designed to enhance developers' coding experiences with a range of features. This comprehensive tool includes AI-powered autocomplete, code documentation, and refactoring capabilities, providing developers with a robust coding environment.
With Code Whisperer, developers can seamlessly integrate Amazon Web Services (AWS) functionalities into their code. This includes leveraging AWS services like S3 buckets, containers, and more. The tool offers code suggestions and auto-completion tailored specifically for working with AWS, enabling developers to write code more efficiently and accurately when utilizing AWS resources.

Pros of Code Whisperer:

Code Whisperer comes with an AWS toolkit extension, which in addition to Code Whisperer’s coding assistant feature, also provides you with easy access to view, modify and deploy AWS resources.
Code Whisperer provides support for a wide range of programming languages.

Cons of Code Whisperer:

Generally, it is a great alternative; it has no cons.

4. Tabnine

Tabnine revolutionizes the coding experience with its cutting-edge AI autocomplete functionality. As one of the early pioneers in the market, Tabnine's code completion tool offers a seamless integration with your preferred code editor. It empowers you to effortlessly complete code in any programming language, library, or framework of your choice.
What sets Tabnine apart from other AI models is its unique approach to data privacy. It exclusively trains its algorithms using open-source and permissive code, ensuring that your proprietary code remains confidential and secure.
By leveraging artificial intelligence, Tabnine analyzes the code you've written and intelligently suggests relevant words or phrases to assist you in your coding process. It seamlessly integrates with popular code editors such as Visual Studio Code, Sublime Text, and IntelliJ, allowing you to enjoy its exceptional capabilities across different environments. Moreover, Tabnine is highly adaptable and can be personalized to match your specific coding style.
Depending on your requirements and desired features, you have the option to choose between a free version or a paid subscription of Tabnine.

Pros of Tabnine :

Tabnine can predict your next line of code and give you suggestions based on it.
It comes with not only auto-complete features but also improved code quality because of its AI power.
It covers almost all programming languages, from the most popular ones by coders to the more used ones in the tech industry.

Cons of Tabnine :

Sometimes, it doesn’t give the exact suggestions.
Beginners in coding might find it not easy to use at first.
Based on its AI learning from code written, it might sometimes mix up one code for the other.

But in all, it is very awesome and useful. It has its cons due to its AI assistant having to learn from the code being written in the editor. Everyone learns, even AI,, so let’s not fault it.

5. Blackbox

Blackbox is an exceptional Visual Studio Code extension that provides advanced code completion and suggestions. What sets it apart is its remarkable ability to transform your coding questions into actual code within your editor. This unique feature allows you to seamlessly convert your queries into executable code snippets.

What makes Blackbox even more impressive is its wide compatibility with multiple programming languages. It intelligently adapts to the syntax and structure of each supported language, ensuring accurate and reliable code generation.

With Blackbox, you can confidently ask coding questions directly within your editor and witness them effortlessly transformed into functional code. It empowers developers to streamline their coding process and enhance productivity, all within the familiar environment of Visual Studio Code.

Pros of BlackBox:

When coding, if you need a specific coding function and you don’t know how to implement it, ask Blackbox, and its AI will get the implementation of the coding function for you.
It works with all programming languages.
It has a feature that allows you to copy code from videos you watch, which is useful while learning.

Cons of Blackbox:

Like every other alternative to GitHub Copilot, you don’t expect every suggestion to be what you wanted.

Conclusion

In their quest for alternatives to GitHub Copilot, developers can explore a range of code completion tools that offer valuable features and capabilities. It's important to note that most of these tools harness the power of AI, but it's essential to manage expectations as they may not always produce the exact desired outcome. Nevertheless, these tools prove to be valuable companions during the coding process, offering assistance and enhancing productivity

𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 - 𝗗𝗮𝘁𝗮𝗧𝘆𝗽𝗲𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲

Sahinur — Sun, 26 Feb 2023 03:13:08 +0000

𝐏𝐫𝐢𝐦𝐢𝐭𝐢𝐯𝐞 :

undefined
null
boolean
Number
BigInt
String
symbol

𝐍𝐨𝐧-𝐩𝐫𝐢𝐦𝐢𝐭𝐢𝐯𝐞 :

Object & Array

𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 :

Array
Map/Weak map
Set/Week set
Date
typeOf operator

𝐁𝐚𝐬𝐢𝐜𝐬 :

What is ECMA Script
About it's versions
Static and dynamic language
Get familiar about the places where JS is using

𝐑𝐮𝐧𝐧𝐢𝐧𝐠 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 :

Script tag
Link external file
Browser console

𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 :

var
let
const
scope (global, function, block)
How lexical scope works
Hoisting
Temporal Dead Zone

𝐋𝐨𝐨𝐩𝐬 :

for
while
do...while
break/continue
for...in
for...of

𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 :

Assignment
Arithmetic
Logical
Conditional
Comparison
Relational
Bitwise
String
Comma
Unary

𝐓𝐲𝐩𝐞 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 :

Explicit Conversion
Implicit Conversion
== & == (Equality)

𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐅𝐥𝐨𝐰 :

if...else
switch
Ternary Operators

𝐛𝐮𝐢𝐥𝐭-𝐢𝐧 𝐦𝐞𝐭𝐡𝐨𝐝𝐬 :

string methods
array methods

𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 :

What is prototype in JS?
Prototype Chain.
Prototypes and inheritance.
Class (Advanced)
Iterators (Advanced)
Generators (Advanced)
Event Loop (Advanced)

𝐀𝐬𝐲𝐧𝐜𝐡𝐫𝐨𝐧𝐨𝐮𝐬 𝐉𝐒 :

setTimeout
setInterval
callbacks
Promises (Advanced)
async/await (Advanced)

𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 :

function declarations
function expressions
calling functions
Parameters & arguments
scope
Arrow functions
Anonymous function
Immediately Invoked Function Expression (IIFE)
Higher Order Function {map, reduce, filter}(Advanced)
Function Currying (Advanced)

𝐭𝐡𝐢𝐬 :

How this work in JS?
Implicit Binding
new binding
Lexical Binding
Default Binding
"this" in case of Arrow Functions
Explicit Binding {call, apply and bind}(Advanced)

𝐅𝐞𝐰 𝐌𝐨𝐫𝐞 𝐂𝐨𝐧𝐜𝐞𝐩𝐭 :

template literals
Spread operators
Rest operators
Array & Object destructuring
extends keyword
Strict Mode
Regular Expressions

𝐌𝐨𝐝𝐮𝐥𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 :

Import/Export
Default and Named Exports

𝐍𝐏𝐌 :

Basic understanding about npm
how to install and import package

What is competitive programming

Sahinur — Tue, 13 Dec 2022 22:50:19 +0000

Competitive programming is a type of computer programming competition in which participants solve challenging problems using algorithms and other programming techniques. It is a way to test and improve your problem-solving skills, as well as your knowledge of algorithms, data structures, and programming languages.

To get started with competitive programming, it is important to have a strong foundation in computer science concepts, including algorithms, data structures, and programming languages. It is also helpful to have a good understanding of math and logical reasoning.

Once you have the necessary knowledge, you can start practicing by solving problems on websites such as HackerRank, TopCoder, and CodeForces. These websites provide a wide range of problems of varying difficulty levels, which you can use to improve your skills.

In addition to practicing, it is also important to stay up to date with the latest developments in the field of competitive programming. This can be done by reading articles, blogs, and books on the subject, as well as attending conferences and workshops.

Finally, participating in competitions is a great way to test your skills and see how you measure up against other competitive programmers. Many websites, such as HackerRank, TopCoder, and CodeForces, also host regular contests and competitions.

Overall, competitive programming is a challenging and rewarding field that can help you improve your problem-solving skills, as well as your knowledge of algorithms, data structures, and programming languages. With practice and dedication, you can become a top competitive programmer.

Programming Contest Top 10 Tips And Tricks

Sahinur — Tue, 13 Dec 2022 22:23:18 +0000

Practice, practice, practice: The more you practice, the more familiar you will become with the types of problems you are likely to encounter in a programming contest.
Choose the right programming language: Choose a programming language that you are comfortable with and that is well-suited to the types of problems you will be solving.
Work on your problem-solving skills: In a programming contest, it's not just about writing code – it's also about solving problems and coming up with creative solutions.
Understand the problem statement: Take the time to carefully read and understand the problem statement. Make sure you understand what the problem is asking for and what your code needs to do to solve it.
Plan your approach: Before you start writing code, take a few minutes to plan out your approach to solving the problem. This will save you time in the long run and help you avoid making mistakes.
Test your code: As you write your code, be sure to test it to make sure it is working correctly. This will help you catch any errors before you submit your solution.
Collaborate with others: Programming contests are often collaborative events, and it can be helpful to work with others to solve problems and discuss approaches.
Stay focused and stay calm: Programming contests can be stressful, but it's important to stay focused and not let the pressure get to you. Take regular breaks to stay fresh and avoid burnout.
Don't be afraid to ask for help: If you get stuck on a problem, don't be afraid to ask for help from the contest organizers or other participants.
Have fun: Above all, remember to enjoy the experience and have fun! Programming contests can be a great way to challenge yourself and learn new skills.

Freelance Work. What to do?

Sahinur — Tue, 13 Dec 2022 08:03:52 +0000

If you are interested in pursuing freelance work, there are a few key steps you can take to get started. First, it is important to identify your skills and areas of expertise, as this will help you determine the types of projects and clients you should focus on. Next, you should create a portfolio of your work to showcase your skills and experience to potential clients. This can include examples of your previous work, testimonials from clients, and any relevant certifications or qualifications you have.

Once you have established your skills and created a portfolio, you can begin marketing yourself to potential clients. This can include networking with other professionals in your field, building an online presence through a website or social media, and reaching out to potential clients directly to offer your services. You should also be prepared to negotiate rates and terms with clients, and to manage your time and workload effectively to ensure that you can deliver high-quality work on deadline.

Overall, pursuing freelance work can be a rewarding and flexible way to build your career, but it requires effort and dedication to succeed.